Jongbin Ryu (유종빈)
Assistant Professor
Dept. of Software and Computer Engineering
Ajou University(아주대학교), Suwon, Gyeonggi Do
Email: jongbinryu at ajou.ac.kr / jongbin.ryu at gmail.com
I am an assistant professor in the Department of Software and Computer Engineering at Ajou University. Before coming to Ajou University, I spend three years as a research fellow at Hanyang University. I received my Ph.D. degree from KAIST in the School of Computing under Prof. Hyun S. Yang in 2017. I completed my B.S. and M.S. degrees in 2009 and 2011 at Chung-Ang University under Prof. Hohyun Park.
I am interested in a wide range of problems related to computer vision, machine learning, medical data, and multi-modal processing.
I am looking for undergraduate and graduate students who want to work together on exciting computer vision and machine learning related problems. Please contact me if you are interested.
Publications
Inhyuk Park, Wonhwa Kim, and Jongbin Ryu, "Style-KD : Class-Imbalanced Medical Image Classification via Style Knowledge Distillation", Biomedical Signal Processing and Control, 2024
Junhyung Ko and Jongbin Ryu, "Spatial Bias for Attention-free Non-local Neural Networks", Expert Systems with Applications, 2024
Seungmin Oh, Jongbin Ryu*, Ho-Jung Shin*, Jeong Ho Song, Sang-Yong, Son, Hoon Hur, Sang-Uk Han (*corresponding author), "Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model", International Journal of Surgery, 2023 (IF 15.3, JCR Top 1%)
Jongbin Ryu*, Dongyoon Han*, Jongwoo Lim (*co-first author), "Gramian Attention Heads are Strong yet Efficient Vision Learners", International Conference on Computer Vision (ICCV), 2023
Wongi Park, Inhyuk Park, Sungeun Kim, and Jongbin Ryu, "Robust Asymmetric Loss for Multi-Label Long-Tailed Learning" (Ranked in the Top-5 at CXR-LT competition), CVAMD workshop at International Conference on Computer Vision (ICCV), 2023
Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh*, Jongbin Ryu*, Jongwoo Lim, Bo-kyeong Kang, Juncheol Lee, Dong-Kyoon Han (*corresponding author), "Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography", Journal of Digital Imaging, 2023
Changhee Won, Jongbin Ryu, and Jongwoo Lim, "End-to-End Learning for Omnidirectional Stereo Matching with Uncertainty Prior", IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2021.
Dongjoo Yun, Jongbin Ryu*, Jongwoo Lim (*corresponding author), Dual Aggregated Feature Pyramid Network for Multi Label Classification, Pattern Recognition Letters, 2021
Jongbin Ryu, Ming-Hsuan Yang, and Jongwoo Lim. "Unsupervised feature learning for self-tuning neural networks." Neural Networks, 2021.
Gitaek Kwon*, Jongbin Ryu*, Jaehoon Oh, Jongwoo Lim, Bo-kyeong Kang, Chiwon Ahn, Junwon Bae, and Dong Keon Lee. (*co-first author) "Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study." Scientific reports 2020.
Sungeun Hong and Jongbin Ryu (corresponding author), "Attention-Guided Adaptation Factors for Unsupervised Facial Domain Adaptation" Electronics Letters, 2020.
Jongbin Ryu, GiTaek Kwon, Ming-Hsuan Yang, and Jongwoo Lim, "Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition", International Conference on Learning Representations (ICLR), 2020.
Sungeun Hong and Jongbin Ryu* (corresponding author), "Unsupervised Face Domain Transfer for Low-Resolution Face Recognition", IEEE Signal Processing Letters (SPL), 2020.
Changhee Won, Jongbin Ryu, and Jongwoo Lim, "OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching", IEEE International Conference on Computer Vision (ICCV), 2019.
Changhee Won, Jongbin Ryu, and Jongwoo Lim, "SweepNet: Wide-baseline Omnidirectional Depth Estimation", IEEE International Conference on Robotics and Automation (ICRA), 2019.
Jongbin Ryu, Ming-Hsuan Yang, and Jongwoo Lim, "DFT-based Transformation Invariant Pooling Layer for Visual Classification", European Conference on Computer Vision (ECCV), 2018.
Hakjin Lee, Jongbin Ryu, and Jongwoo Lim, "Joint Object Tracking and Segmentation with Independent Convolutional Neural Networks", Coview: 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, in conjuction with ACM MM, 2018.
Sungeun Hong, Jongbin Ryu, Woobin Im, and Hyun S. Yang, "D3: Recognizing dynamic scenes with deep dual descriptor based on key frames and key segments", Neurocomputing, 2018.
Sungeun Hong, Jongbin Ryu, and Hyun S. Yang, "Not all frames are equal: aggregating salient features for dynamic texture classification", Multidimensional Systems and Signal Processing, 2018
Sungeun Hong, Woobin Im, Jongbin Ryu and Hyun S. Yang, "SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person", IEEE International Conference on Image Processing (ICIP), 2017.
Jongbin Ryu, and Hyun S. Yang, "Locality-preserving descriptor for robust texture feature representation", Neurocomputing, 2016.
Jongbin Ryu, Sungeun Hong, and Hyun S. Yang, "Sorted consecutive local binary pattern for texture classification", IEEE Transactions on Image Processing (TIP), 2015.
Jongbin Ryu, Hyun S. Yang, and Yongho Seo, "Real time eye blinking detection using local ternary pattern and SVM", International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013.
Suwon Lee, Jinki Jung, Jihye Hong, Jongbin Ryu, and Hyun S. Yang , "AR Paint: A Fusion System of a Paint Tool and AR", International Conference on Entertainment Computing (ICEC), 2012.
Jongbin Ryu, Hohyun Park, and Jaehwa Park, "Corner classification using Harris algorithm", Electronics Letters, 2011.
Jongbin Ryu, Changun Lee, and Hohyun Park, "Formula for Harris corner detector", Electronics Letters, 2011.
Jongbin Ryu, and Hohyun Park, "Log-log scaled Harris corner detector", Electronics Letters, 2010.
Work experiences
Assistant Professor at Ajou University (2020 - Now)
Research Professor at Hanyang University (2018 - 2020)
Research Fellow at Hanyang University (2017 - 2020)
Lecturer at IT Academy at KAIST (2013-2015)
Researcher at Institut Pasteur Korea (2010-2011)
Software Engineer at Siemens Korea Ultrasound Research (2010)
Captin of Korean Martial Arts (Taekwondo) Club at Chung-Ang University (2007-2008)
Military Service at Republic of Korea Army (2005-2007)
Current Students
Sungeun Kim (Integrated M.S and Ph.D)
Junhyung Ko (Integrated M.S and Ph.D)
Hankyul Kang (Integrated M.S and Ph.D)
Seungmin Oh (Integrated M.S and Ph.D)
Inhyuk Park (M.S)
Sunki Joo (M.S)
Yuri Kim (M.S)
Soohyeon Pyo (M.S)
Seunghoon Kang (M.S)
Gregor Seifer (M.S)
Dongkyu Kim (M.S)
Donghyun Kim (M.S)
Donggun Lee (M.S)
Kyusung Nam (M.S)
Euihak Heo (M.S)
Junseo Lee (Intern)
Taehui Kim (Intern)
Duyeon Na (Intern)
Geunhyung Park (Intern)
Eunjoo Shin (Intern)
Education
Ph.D. Computer Science, KAIST (Feb 2012 - Feb 2017)
M.S. School of Electrical and Electronics Engineering, Chung-Ang University (Mar 2009 - Feb 2011)
B.S. School of Electrical and Electronics Engineering, Chung-Ang University (Mar 2002 - Feb 2009)
Research Activity
Reviewer: NeurIPS, ICML, ICLR, CVPR, ECCV, AAAI, WACV, TIP, Neurocomputing, Sensors, SPL, etc.
Organizer of Machine Learning Study & Research Team at Hanyang University